cs.CL(2023-12-15)

📊 共 19 篇论文 | 🔗 4 篇有代码

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支柱九:具身大模型 (Embodied Foundation Models) (14 🔗3) 支柱一:机器人控制 (Robot Control) (3) 支柱四:生成式动作 (Generative Motion) (1 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (14 篇)

#题目一句话要点标签🔗
1 SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models 提出SMILE数据集,利用语言模型解决视频中理解笑声原因的任务 large language model multimodal
2 Low-resource classification of mobility functioning information in clinical sentences using large language models 利用大型语言模型进行临床语句中行动功能信息的低资源分类 large language model foundation model
3 ProCoT: Stimulating Critical Thinking and Writing of Students through Engagement with Large Language Models (LLMs) 提出ProCoT方法,通过学生与大语言模型互动,提升批判性思维和写作能力,并防止作弊。 large language model chain-of-thought
4 Faithful Persona-based Conversational Dataset Generation with Large Language Models 提出基于大型语言模型的生成器-评论家框架,用于生成高质量的、基于角色设定的对话数据集。 large language model
5 Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models BinSum:评估ChatGPT/GPT-4等大型语言模型在二进制代码摘要任务中的性能 large language model
6 LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin LoRAMoE:通过MoE风格插件缓解大语言模型中的世界知识遗忘 large language model
7 Taxonomy-based CheckList for Large Language Model Evaluation 提出基于分类的CheckList方法,用于评估大型语言模型中的偏见问题 large language model
8 Extending Context Window of Large Language Models via Semantic Compression 提出基于语义压缩的LLM上下文窗口扩展方法,无需微调即可处理6-8倍长度文本。 large language model
9 Marathon: A Race Through the Realm of Long Context with Large Language Models Marathon:提出长文本大语言模型评测基准,解决现有基准不足。 large language model
10 Red AI? Inconsistent Responses from GPT3.5 Models on Political Issues in the US and China 揭示GPT3.5在美中政治议题上双语回答的不一致性,暗示潜在政治倾向 large language model
11 Catwalk: A Unified Language Model Evaluation Framework for Many Datasets Catwalk:一个统一的语言模型评估框架,适用于多种数据集 large language model
12 LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language LLaMAntino:面向意大利语的LLaMA 2高效文本生成模型 large language model
13 No-Skim: Towards Efficiency Robustness Evaluation on Skimming-based Language Models 提出No-Skim框架以评估基于滑模的语言模型的鲁棒性 large language model
14 A Review of Repository Level Prompting for LLMs 综述:针对大型语言模型的仓库级提示工程,提升代码生成能力 large language model

🔬 支柱一:机器人控制 (Robot Control) (3 篇)

#题目一句话要点标签🔗
15 Does GPT-4 surpass human performance in linguistic pragmatics? GPT-4在语言语用学理解上超越人类表现,展现通用AI潜力 humanoid humanoid robot large language model
16 RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding 提出RDR方法,通过回顾、审议和响应机制增强语言理解能力,提升模型鲁棒性。 manipulation
17 Picking the Underused Heads: A Network Pruning Perspective of Attention Head Selection for Fusing Dialogue Coreference Information 提出基于网络剪枝的注意力头选择方法,融合对话共指信息以提升对话摘要质量。 manipulation

🔬 支柱四:生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗
18 Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation 提出Topic-VQ-VAE,利用VQ-VAE的潜在码本进行灵活的主题引导文档生成。 VQ-VAE

🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗
19 ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent 提出ReST meets ReAct框架,通过自提升学习解决多步推理LLM Agent的复杂问答问题 reinforcement learning distillation large language model

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